iMeta最新文献

{"title":"Embracing the Dragon-Horse Spirit: Gratitude and forward momentum","authors":"Yong-Xin Liu,&nbsp;Yunyun Gao,&nbsp;Tong Chen,&nbsp;Danyi Li,&nbsp;Canhui Lan,&nbsp;Chun-Lin Shi,&nbsp;Jingyuan Fu,&nbsp;Shuang-Jiang Liu","doi":"10.1002/imt2.70110","DOIUrl":"https://doi.org/10.1002/imt2.70110","url":null,"abstract":"<p>Dragon-Horse Spirit: A metaphor for a person's vigorous and enterprising spirit and demeanor. Inspired by this spirit, iMeta and its sister journals have achieved a series of groundbreaking advancements in submission and impact over the past 4 years. As the Chinese Year of the Horse is coming, we extend our gratitude to all the editorial board members, associate editors, youth editors, and reviewers who have contributed to the development of iMeta series.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70110","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147563886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Majorbio Cloud 2026 provides comprehensive analysis workflows for microbiome","authors":"Jianhua Zhao,&nbsp;Linmeng Liu,&nbsp;Jichen Han,&nbsp;Junbiao Zhang,&nbsp;Xiaodan Li,&nbsp;Yan Wang,&nbsp;Qianhui Han,&nbsp;Xue Gong,&nbsp;Linna Zhang,&nbsp;Hao Gao,&nbsp;Bing Yang,&nbsp;Yachen Dong,&nbsp;Huasheng Huang,&nbsp;Xianglin Zhang,&nbsp;Kegang Yu","doi":"10.1002/imt2.70109","DOIUrl":"https://doi.org/10.1002/imt2.70109","url":null,"abstract":"<p>The integrated microbiome data analysis platform on Majorbio Cloud (https://cloud.majorbio.com/) encompasses 26 analytical workflows, with a core architecture of two modules: single-omics workflows and cross-omics integration and correlation workflows. The platform supports multi-scale microbiome research (strain to community levels) and cross-omics analyses spanning DNA, RNA, protein, and metabolite layers. The platform features four key functions: (1) Application guide, streamlines analytical workflows for user convenience; (2) Default analysis parameters and one-click analysis, enables one-step data processing; (3) One-click plot enhancement, optimizes figures to meet academic publication standards; (4) Plot patchwork feature, stores optimized images in my gallery, facilitates the creation of publication-ready image composites, supports composite downloads in PDF/PNG/SVG formats, and allows the preservation of patchwork templates for subsequent applications. By late 2025, the platform has facilitated over 5,050 scientific publications, accelerating microbiome research advances.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147563192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CAT-BLAST: Engineered bacteria for robust targeting and elimination of cancer-associated fibroblasts","authors":"Mengdi Xu,&nbsp;Ehsan Hashemi,&nbsp;Hui Gao,&nbsp;Qumar Zaman,&nbsp;Yi Ma,&nbsp;Jufang Wang,&nbsp;Wenjun Mao,&nbsp;Zhuobin Liang","doi":"10.1002/imt2.70102","DOIUrl":"https://doi.org/10.1002/imt2.70102","url":null,"abstract":"<p>Cancer-associated fibroblasts (CAFs) construct a protective stromal barrier that promotes tumor growth and resistance to therapy. To dismantle this, we developed CAT-BLAST, an engineered bacterial platform designed to potently eliminate these cells. We engineered a safe, high-expression <i>E. coli</i> chassis, arming it with a FAP-specific synthetic adhesin for precise CAF targeting and the ability to secrete the ClyA cytotoxin to induce apoptosis in both CAFs and adjacent tumor cells. This platform demonstrated robust, FAP-specific targeting across diverse human tumor xenograft models and achieved significant tumor suppression in both murine colorectal cancer and melanoma.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147563330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast bootstrap and reliable readout using hidden references for DNA data storage","authors":"Weigang Chen,&nbsp;Shuang Liu,&nbsp;Quan Guo,&nbsp;Rui Qin,&nbsp;Qi Ge,&nbsp;Tingting Qi,&nbsp;Yingjin Yuan","doi":"10.1002/imt2.70105","DOIUrl":"https://doi.org/10.1002/imt2.70105","url":null,"abstract":"<p>Data storage using large DNA fragments enables low-cost in vivo replication and offers a promising strategy for distributed data applications. However, data readout from massive, unordered sequencing reads requires alignment based on overlapping regions and is complicated by diverse sequencing errors, especially insertion and deletion (indel) errors. Here, we propose a fast and reliable readout framework in a bootstrap manner tailored for data storage using watermarked large DNA fragments. Our scheme transforms the de novo readout into a resequencing-like workflow through multiple-fold hidden references, substantially reducing readout complexity. The framework is compatible with sequencing platforms exhibiting diverse error profiles. For technologies with low indel rates, we employ correlation-based identification and bit-wise consensus to enable rapid decoding. For indel-prone platforms, we incorporate progressive read alignment using multiple-fold hidden references and the forward-backward algorithm to ensure robust recovery. In vivo experiments on large DNA fragments with different coding efficiencies validated the proposed framework. Error-free recovery was achieved using Illumina reads (raw error rate of ~0.2%) at a coverage of 0.6–2.5× and using nanopore reads (raw error rate ~5%) at a coverage of 1.6× or 4.3×. These results demonstrate the practicality and scalability of large-fragment DNA storage for real-world applications.</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70105","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147565084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction of a clickable probe-based protein chip platform for discovering covalent mIDH1 inhibitors from natural medicinal extracts","authors":"Zhao Cui,&nbsp;Jiameng Li,&nbsp;Caifeng Li,&nbsp;Mo Sun,&nbsp;Wei Liu,&nbsp;Xuxia Cao,&nbsp;Shiwen Deng,&nbsp;Junxian Cao,&nbsp;Hongjun Yang,&nbsp;Peng Chen","doi":"10.1002/imt2.70107","DOIUrl":"https://doi.org/10.1002/imt2.70107","url":null,"abstract":"<p>The early discovery of covalent drugs is frequently inspired by, or derived from, natural sources, with such compounds often showing favorable safety profiles and a comparatively lower risk of clinical failure. However, a straightforward, high-throughput technique for screening covalent-binding molecules directly from complex medicinal plant extracts remains unavailable. In this study, we introduce an integrated strategy that combines protein microarrays with bioorthogonal click chemistry (Ccc-Chip). This platform includes a differential scanning fluorimetry (DSF)-based pre-screening step to enhance efficiency, with the Ccc-Chip serving as the core confirmation tool. It provides simple and intuitive readouts, enabling synchronous, high-throughput screening of covalent ligands targeting multiple proteins through detection of their competitive binding with cysteine-reactive probes. To validate the approach, we constructed a mutant isocitrate dehydrogenase 1 (mIDH1) protein microarray and used the integrated workflow to screen 110 medicinal plants. Our results led to the identification of flavokawain C (Flc), a covalent inhibitor of mIDH1, from <i>Piper methysticum</i> Forst. Subsequent in vivo experiments showed that Flc significantly reduced 2-hydroxyglutarate (2-HG) levels in an mIDH1-driven orthotopic tumor model and enhanced CD8⁺ T cell activity. Notably, when combined with a programmed cell death protein 1 (PD-1) blocking antibody, Flc synergistically augmented antitumor immunity, resulting in suppressed tumor growth. This work not only supports the high-throughput utility of the Ccc-Chip strategy but also provides a practical framework for combining bioorthogonal labeling with protein microarray technology, facilitating the discovery of bioactive covalent molecules from plant sources for challenging therapeutic targets.</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70107","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147565143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BIOME cohort: Multi-system microbiome dynamics and clinical outcomes in massive burn injury patients","authors":"Runzhi Huang,&nbsp;Yixu Li,&nbsp;Xiaoliang Li,&nbsp;Xulin Chen,&nbsp;Gang Xu,&nbsp;Shurun Huang,&nbsp;Weixi Yang,&nbsp;Xiaodong Li,&nbsp;Haiming Xin,&nbsp;Jianqiang Jiao,&nbsp;Hui Chen,&nbsp;Yuguo Xie,&nbsp;Peng Duan,&nbsp;Wenjun Liu,&nbsp;Xiangdong Deng,&nbsp;Zongyu Li,&nbsp;Yiping Xiu,&nbsp;Jiansheng Zheng,&nbsp;Rujun Chen,&nbsp;Zhaohong Chen,&nbsp;Xingang Wang,&nbsp;Xiaojian Li,&nbsp;Gaoxing Luo,&nbsp;Yi Zhang,&nbsp;Hongyan Zhang,&nbsp;Shichu Xiao,&nbsp;Liang Xiao,&nbsp;Ruijin Guo,&nbsp;Jie Zhang,&nbsp;Xiaofei Ye,&nbsp;Hongtai Tang,&nbsp;Qiao Zuo,&nbsp;Bin Qu,&nbsp;Bingwei Sun,&nbsp;Changhong Lu,&nbsp;Chengliang Deng,&nbsp;Deyi Zheng,&nbsp;Geng Ji,&nbsp;Haisheng Li,&nbsp;Haizhou Yu,&nbsp;Hua Zhou,&nbsp;Jian Wu,&nbsp;Lanjun Nie,&nbsp;Lei Wang,&nbsp;Pihong Zhang,&nbsp;Qingfu Zhang,&nbsp;Shengwu Chao,&nbsp;Sisi Yang,&nbsp;Xianglin Ding,&nbsp;Xiangsheng Ding,&nbsp;Ying Yan,&nbsp;Jiangyong Shen,&nbsp;Yongjian Zhao,&nbsp;Yunchuan Pan,&nbsp;Yunbiao Shen,&nbsp;Yu Zhang,&nbsp;Zhihui Yao,&nbsp;Zhe Cheng,&nbsp;Jiangfan Xie,&nbsp;Zhigang Chu,&nbsp;Shijie Li,&nbsp;Long Xu,&nbsp;Xiuming Yang,&nbsp;Sujie Xie,&nbsp;Hanlin Sun,&nbsp;Shuyuan Xian,&nbsp;Dezhi Han,&nbsp;Maolong Dong,&nbsp;Chengde Xia,&nbsp;Peng Luo,&nbsp;Yongming Yao,&nbsp;Zhaofan Xia,&nbsp;Shizhao Ji","doi":"10.1002/imt2.70106","DOIUrl":"https://doi.org/10.1002/imt2.70106","url":null,"abstract":"<p>Massive burn injuries (MBIs) are associated with high mortality and disability rates, primarily due to microbial-driven sepsis from extensive skin barrier loss and subsequent scar formation. This makes MBI a compelling model for studying multi-system microbial dysbiosis following skin barrier destruction. We launched the Burn &amp; Trauma Injury Organisms and Microbiome Ecology (BIOME) project, planning to enroll at least 150 MBI patients from 50 hospitals across 28 provinces, autonomous regions, and municipalities in China. The cohort includes skin swabs, intestinal and oral samples, and longitudinal clinical data collected from within 72 h post-injury through 1 year of follow-up. This multicenter, prospective, longitudinal cohort will establish a comprehensive clinical microbiota resource for patients with MBI. By integrating multi-system microbiome profiling with clinical outcomes, the BIOME project aims to elucidate the translational role of microbiota reconstruction as a potential target for diagnosis, prognosis, and therapeutic intervention in severe burn care.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147570324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Majorbio Cloud 2026 provides comprehensive analysis workflows for microbiome","authors":"Jianhua Zhao,&nbsp;Linmeng Liu,&nbsp;Jichen Han,&nbsp;Junbiao Zhang,&nbsp;Xiaodan Li,&nbsp;Yan Wang,&nbsp;Qianhui Han,&nbsp;Xue Gong,&nbsp;Linna Zhang,&nbsp;Hao Gao,&nbsp;Bing Yang,&nbsp;Yachen Dong,&nbsp;Huasheng Huang,&nbsp;Xianglin Zhang,&nbsp;Kegang Yu","doi":"10.1002/imt2.70109","DOIUrl":"https://doi.org/10.1002/imt2.70109","url":null,"abstract":"<p>The integrated microbiome data analysis platform on Majorbio Cloud (https://cloud.majorbio.com/) encompasses 26 analytical workflows, with a core architecture of two modules: single-omics workflows and cross-omics integration and correlation workflows. The platform supports multi-scale microbiome research (strain to community levels) and cross-omics analyses spanning DNA, RNA, protein, and metabolite layers. The platform features four key functions: (1) Application guide, streamlines analytical workflows for user convenience; (2) Default analysis parameters and one-click analysis, enables one-step data processing; (3) One-click plot enhancement, optimizes figures to meet academic publication standards; (4) Plot patchwork feature, stores optimized images in my gallery, facilitates the creation of publication-ready image composites, supports composite downloads in PDF/PNG/SVG formats, and allows the preservation of patchwork templates for subsequent applications. By late 2025, the platform has facilitated over 5,050 scientific publications, accelerating microbiome research advances.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147563191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of the gut microbiome in the regulation of high-altitude adaptation","authors":"Xinyu Zhang,&nbsp;Senlin Zhu,&nbsp;Michael Kreuzer,&nbsp;Shoukun Ji,&nbsp;Wei Wang,&nbsp;Yanliang Bi,&nbsp;Shengli Li","doi":"10.1002/imt2.70104","DOIUrl":"https://doi.org/10.1002/imt2.70104","url":null,"abstract":"<p>Hypoxia and cold temperatures are major limiting factors for animals reared at high altitudes. Previous adaptation studies have primarily focused on genetic and genomic aspects, while the mechanisms by which the gut microbiome contributes to this adaptation are still not fully understood. We used ruminants as both naturally adapted (yaks) and non-adapted (Holstein cows) models to investigate the role of gut microbiome in high-altitude adaptation by applying multi-omics approaches. First, 20 yaks and 20 Holstein cows that had been reared at approximately 4000 m altitude since birth were fed the same diet for 44 days prior to sampling to eliminate the short-term effects of nutrition and altitude adaptation. The yak rumen microbiome showed significant enrichment in carbon metabolism, particularly central carbon metabolism pathways, such as glycolysis/gluconeogenesis, pyruvate metabolism, and the pentose phosphate pathway, whereas that of Holstein cows was enriched in starch, sucrose, pentose, and glucuronate interconversions. Compared with those of Holstein cows kept at high altitudes for their entire life, the yak rumen epithelial cells, as determined by single-nucleus RNA sequencing, exhibited higher elevated scores for ketone body biosynthesis and fatty acid beta-oxidation. Second, mixed rumen fluid was transplanted from 10 yaks to 10 Holstein cows. Holstein cows then showed better milk production performance. A progressive decline in carbon metabolism activity from 6 h to 7 and 28 days post-transplantation was verified. In conclusion, the rumen microbiome and host epithelial function appear to support high-altitude adaptation by improving the energy supply of the host.</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147566939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microbial metabolites in tumor epigenetic regulation","authors":"Wangzheqi Zhang,&nbsp;Haoling Zhang,&nbsp;Yan Liao,&nbsp;Shuya Jiang,&nbsp;Haolong Zhang,&nbsp;Chenwei Huang,&nbsp;Zhijing Song,&nbsp;Rui Zhao,&nbsp;Ping Lu,&nbsp;Xiaohong Kang,&nbsp;Eryan Kong,&nbsp;Yalin Zhu,&nbsp;Wei Wang,&nbsp;Xuesong Liu,&nbsp;Yisheng Chen,&nbsp;Zhiwen Luo,&nbsp;Zhaoyu Li,&nbsp;Di Wang,&nbsp;Na Xing,&nbsp;Yadong Guo,&nbsp;Jingjing Zhang,&nbsp;Xiaojing Wang,&nbsp;Wenyi Wang,&nbsp;Mowaffaq Adam,&nbsp;Bakiah Shaharuddin,&nbsp;Muhamad Yusri Musa,&nbsp;Doblin Sandai,&nbsp;Chenglong Zhu,&nbsp;Aimin Jiang,&nbsp;Peng Luo,&nbsp;Zhijie Zhao,&nbsp;Zui Zou","doi":"10.1002/imt2.70115","DOIUrl":"https://doi.org/10.1002/imt2.70115","url":null,"abstract":"<p>With an increasing global cancer burden, the regulatory function of the human microbiome and its metabolites in tumor epigenetics has garnered significant interest. Microbial metabolites are not merely passive byproducts but serve as signaling molecules and epigenetic modulators, contributing to tumor progression through multiple overlapping pathways. Short-chain fatty acids (SCFAs) such as butyrate directly inhibit histone deacetylases to reactivate tumor suppressor genes, while secondary bile acids (BAs) induce gene silencing via DNA methylation remodeling by altering the FXR/TGR5 signaling pathway. Folate and vitamin B12 serve as substrates for DNA and histone methylation through one-carbon metabolism. A complex bidirectional feedback loop exists between microbial metabolism and tumor epigenetics: reprogramming driven by hypoxia or oncogenes alters metabolite flux, generating molecules such as lactate and succinate that not only remodel chromatin and the tumor microenvironment (TME) but also selectively promote the growth of metabolically adapted microbial species, thereby reinforcing epigenetic dysregulation. Despite growing mechanistic insights, establishing causality and correlating spatiotemporal dynamics and dose responses within the highly heterogeneous TME remain major challenges. Data integration across multi-omics remains limited by methodological and computational constraints. Resolving these issues will be critical for understanding the microbe–metabolite–epigenetic axis and advancing personalized precision oncology.</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70115","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147565400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Host-driven hepatic conversion of gut microbiota-derived putrescine to spermidine mediates mannose's protective effects against hepatic steatosis in zebrafish","authors":"Delong Meng,&nbsp;Zhen Zhang,&nbsp;Tsegay Teame,&nbsp;Benjamin Earl Niemann,&nbsp;Rui Xia,&nbsp;Shichang Xu,&nbsp;Yajie Zhao,&nbsp;Yalin Yang,&nbsp;Chao Ran,&nbsp;Le Luo Guan,&nbsp;Zhigang Zhou","doi":"10.1002/imt2.70101","DOIUrl":"https://doi.org/10.1002/imt2.70101","url":null,"abstract":"<p>Evidence for liver metabolism of gut-derived microbial compounds into beneficial secondary metabolites has been lacking. Here, we demonstrate that <i>Cetobacterium somerae</i> (<i>C. somerae</i>), enriched by mannose supplementation under high-fat diet conditions, convert arginine into putrescine. The liver subsequently converts this microbial-derived putrescine to spermidine, which functions as an effector molecule to reduce hepatic lipid accumulation. These findings uncover a novel host-microbiota collaborative mechanism in which the arginine-putrescine-spermidine metabolic pathway is completed through inter-kingdom cooperation to ameliorate hepatic steatosis.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"5 1","pages":""},"PeriodicalIF":23.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70101","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147567324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}